A study on intelligent industrial equipment repair system
- DOI
- 10.2991/icmse-17.2017.80How to use a DOI?
- Keywords
- Equipment repair; Monitoring system; knowledge base; repair process; Intelligent maintenance system
- Abstract
In order to solve the production of equipment failure, repair is difficult, inconvenient maintenance, positioning and lack of knowledge base of intelligent judgment system, and put forward a method of intelligent industrial equipment repair. The method is by machine system, broadcasting system, lighting equipment and repair initiated monitoring system, according to electronic information, equipment information, voice signals and monitoring information generation repair processes, through the intelligent knowledge base judgment, rapid positioning to solve the problem. To achieve fast and efficient enterprise equipment maintenance, and the formation of an information flow, voice flow, intelligent signal flow integrated repair platform.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yunxiang Liu AU - Wenbin Yao PY - 2017/04 DA - 2017/04 TI - A study on intelligent industrial equipment repair system BT - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017) PB - Atlantis Press SP - 420 EP - 424 SN - 2352-5401 UR - https://doi.org/10.2991/icmse-17.2017.80 DO - 10.2991/icmse-17.2017.80 ID - Liu2017/04 ER -